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Listed Company Annual Report Download

Data Analysis Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @user_1d6ff26f/stockyearreport according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem

In finance research, data pipelines, or report archiving workflows, listed company annual reports are often scattered across exchange pages. Finding the correct full report or summary version for a stock code and year can be slow and error-prone. stockyearreport reduces this to two inputs: a stock code and a year, then returns a parseable list of annual report links.

How It Works and Limits

The skill focuses on SSE and BSE annual reports:

  • Input: a valid listed company stock code, such as 600519, and a target year, such as 2024
  • Query: retrieves annual report disclosures for that code and year
  • Output: a list grouped by exchange, typically including report title, download link, and source exchange
  • Structure: returns JSON so downstream scripts can fetch, store, or analyze the reports
  • Summary distinction: separates summary versions from full report versions where available

Notes: the stock code must be a valid listed company code, and the year should be the target report year. The result may be empty if no matching annual report is found. It is best used as a front stage for annual report collection and link normalization, not as full report parsing or complete market coverage.

Use Cases

  • Given a stock code and year, quickly locate the formal and summary annual report links.
  • Build an annual-report ingestion pipeline that normalizes stock-code and year queries into JSON.
  • Check whether a listed company has disclosed its annual report on SSE or BSE, and separate the summary version.
  • Prepare research attachments by locating annual report links before handing them to download or parsing scripts.

Best For

  • Data engineers who need to batch-collect SSE or BSE annual report links by stock code.
  • Analysts performing financial-document sourcing and needing to separate full reports from summaries.
  • Backend engineers building listed-company disclosure pipelines that require stable JSON output.
  • Research operations staff maintaining annual-report archives and filling gaps for each stock year.